Regular readers of this blog will know I’ve read quite few machine learning books, now to put this learning into action. We’ve done some machine learning for clients but I thought it would be good to do something I could share. The Forest Cover Type Prediction challenge on Kaggle seemed to fit the bill. Kaggle […]
The twitter search and follower tools are amongst the most popular on the ScraperWiki platform so we are looking to provide more value in this area. To this end I’ve been reading “Mining the Social Web” by Matthew A. Russell. In the first instance the book looks like a run through the APIs for various […]
I’ve been doing more reading on machine learning, this time in the form of Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten, Eibe Frank and Mark A. Hall. This comes by recommendation of my academic colleagues on the Newsreader project, who rely heavily on machine learning techniques to do natural language […]
Machine learning is about prediction, and prediction is a valuable commodity. This sounds pretty cool and definitely the sort of thing a data scientist should be into, so I picked up Machine Learning in Action by Peter Harrington to get an overview of the area. Amongst the examples covered in this book are: Given that […]
